Join us | September 24 | W Hoboken NJ
CISO New York
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Where Security and Technology Leaders Meet to Solve What Comes Next
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Where Cybersecurity Leaders Come to Solve What’s Next
Join CISOs and senior cyber leaders for a focused, peer-led day of practical strategies, candid conversations, and real-world insights you can take straight back to the business.
From enterprise risk and board scrutiny to AI security, insider threats, cloud governance, and enabling innovation securely, every session is built to deliver actionable takeaways, not theory.
Event Snapshot
- 45+ expert speakers sharing real-world experience
- 100+ senior security leaders
- Interactive discussions, debates, and roundtables
- Curated networking with true decision-makers
What You’ll Gain
- Practical strategies you can apply immediately
- Candid peer conversations and shared lessons learned
- Direct access to leaders facing the same challenges
- Connections that last beyond the event
Who Should Attend
CISOs, Heads of Security, Risk, Cloud, Fraud, and senior cybersecurity leaders across all industries looking to drive innovation securely and strengthen enterprise security programs.
2026 Featured Speakers

Joseph Zhou
Chief Information Security Officer (EMEA, Americas)
SHEIN

Tammy Klotz
Chief Information Security Officer
TRINSEO

Rahul Patel
Chief Information Officer/ Chief Innovation Officer, Managing Director
KBC BANK & VERZEKERING

Angela Silva
US Deputy Chief Information Security Officer
LLOYDS BANKING GROUP
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Our Key Themes for 2026
AI & Emerging Cyber Risk
Exploring how AI is transforming both cyber
defence and cyber threats, creating new
opportunities, vulnerabilities, and governance
challenges for security leaders.
CISO Leadership & Business
Alignment
Focusing on the evolving role of the CISO as a
strategic business leader responsible for
balancing security, innovation, risk, and executive
expectations.
Resilience, Response & Recovery
Examining how organizations can strengthen
their ability to withstand, respond to, and recover
from increasingly sophisticated cyber incidents.
Human Risk, Trust & Security
Culture
Addressing the people, behaviors, and
organizational dynamics that influence security
outcomes, from insider risk and employee
engagement to trust in the
Join us at CISO New York 2026
Get shoulder to shoulder with your peers and see what's next in InfoSec
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